‘Big data’ is a term for data sets that are so
large or complex that traditional data processing applications are
inadequate. Billions of dollars have been spent on attempts to build predictive
tools from large sets of poorly controlled healthcare metadata.
Companies often sell reports at a physician or facility level based
on various flawed data sources, and comparative websites of ‘publicly
reported data’ purport to educate the public. Physicians should
be aware of concerns and pitfalls seen in such data definitions,
data clarity, data relevance, data sources and data cleaning when
evaluating analytic reports from metadata in health care. Cite this article:
Modern healthcare contracting is shifting the
responsibility for improving quality, enhancing community health
and controlling the total cost of care for patient populations from
payers to providers. Population-based contracting involves capitated
risk taken across an entire population, such that any included services
within the contract are paid for by the risk-bearing entity throughout
the term of the agreement. Under such contracts, a risk-bearing entity,
which may be a provider group, a hospital or another payer, administers
the contract and assumes risk for contractually defined services.
These contracts can be structured in various ways, from professional
fee capitation to full global per member per month diagnosis-based
risk. The entity contracting with the payer must have downstream
network contracts to provide the care and facilities that it has
agreed to provide. Population health is a very powerful model to
reduce waste and costs. It requires a deep understanding of the nuances
of such contracting and the appropriate infrastructure to manage
both networks and risk. Cite this article:
Episodic, or